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Enregistrement W4401834964 · doi:10.1093/cid/ciae430

Reply to Hao and He

2024· article· en· W4401834964 sur OpenAlexaff
Lottie Brown, Mario Cruciani, J. Peter Donnelly, Riina Rautemaa‐Richardson, P. Lewis White

Notice bibliographique

RevueClinical Infectious Diseases · 2024
Typearticle
Langueen
DomaineMedicine
ThématiquePneumocystis jirovecii pneumonia detection and treatment
Établissements canadiensInstitute of Infection and Immunity
Organismes subventionnairesnon disponible
Mots-clésLibrary scienceMedicineHistoryFamily medicineComputer science

Résumé

récupéré en direct d'OpenAlex

To the Editor—We thank Drs Hao and He for their interest in our meta-analysis on the diagnosis of Pneumocystis pneumonia (PcP) by polymerase chain reaction (PCR). We agree that initiation of PcP treatment and underlying conditions likely have an impact on fungal burden and, subsequently, PCR performance. Our meta-analysis found no significant difference in PCR performance according to human immunodeficiency (HIV) status. Unfortunately, it was not possible to perform a stratified analysis according to other underlying conditions, patient demographics, or medication status as the studies included seldom presented sufficient data for comparative analysis according to these factors. We acknowledge inconsistent reporting as a limitation in our discussion, which should ideally be addressed in future studies. The impact of the anti-Pneumocystis therapy, be it prophylaxis, empirical, or targeted therapy, should be considered. The impact of anti-Pneumocystis prophylaxis on PCR performance is understudied, although this may be less relevant given that rates of PcP in patients on sulfamethoxazole-trimethoprim prophylaxis are low (<1%) [1]. Molecular tests have demonstrated the ability to detect resistant/breakthrough infections, indicating that the disease burden is sufficient to be detected by PCR [2]. The effect of empirical treatment on PCR positivity has not been fully investigated, particularly in HIV-negative patients in whom fungal burdens are lower and impact may be greater. Every effort should be made to obtain a respiratory specimen for PCR before starting treatment. Bronchoscopy may be delayed due to the need for specialist equipment and expertise so more readily available specimens, such as induced sputum and upper respiratory tract samples, are useful samples for combining with serum (1,3)-β-d-glucan (BDG). Similarly, the impact of targeted antifungal therapy on PCR performance has not been fully elucidated, although persisting PCR positivity is a poor prognostic marker in PcP and burden typically reduces within 10 days of successful therapy [3, 4]. There is a clear need for further studies evaluating the diagnostic accuracy of standardized PCR methods against the reference standard, with comparative performance according to underlying disease, use of prophylaxis, and timing of treatment initiation. We believe our methods are in line with PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) guidelines and additional information is available in the supplementary material. When formatting our search terms, we considered the Population, Intervention, Comparator, Outcome, Study design (PICOS) principle to the extent that it is applicable to noninterventional diagnostic studies. In our systematic review, we did not provide a formal GRADE (Grading of Recommendations Assessment, Development and Evaluation) assessment of the certainty of the evidence because it is primarily designed for systematic reviews on interventional studies. Detailed guidance for rating certainty in comparative diagnostic accuracy reviews is still under development [5]. The studies included were of high methodological quality according to the QUADAS-2 tool, but the certainty of the evidence could only be classified as moderate due to the absence of proven infection, the most typical classification when managing respiratory fungal diseases. There are substantial challenges to achieving global standardization of PcP PCR. Our meta-analysis identified significant variations in PCR methodology across included studies, which will affect the concentration of fungal DNA and diagnostic yield. We also discuss specimen quality and operator skill as a source of heterogeneity that is difficult to quantify. Methodological standardization is being undertaken by the Fungal PCR Initiative (a working group of the International Society of Human and Animal Mycology (ISHAM) and strategies involving external quality-control organizations are being developed to provide an international standard for PcP PCR, potentially allowing it to become the reference test for PcP [6, 7]. We encourage manufacturers to obtain universal approval of their products to enable global availability as the World Health Organization already lists PcP PCR as an essential diagnostic test. Finally, we agree that PCR results should be combined with biomarkers and clinical and radiological findings and our group is exploring diagnostic algorithms that combine all available evidence to enhance diagnosis beyond probable PcP. Financial support. This work was co-funded by the National Institute for Health and Care Research and Manchester Biomedical Research Centre (NIHR203308).

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,010
score de la tête « metaresearch » (Gemma)0,107
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,019
Score d'incertitude au seuil0,054

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0100,107
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0030,002
Bibliométrie0,0020,002
Études des sciences et des technologies0,0020,003
Communication savante0,0050,006
Science ouverte0,0040,003
Intégrité de la recherche0,0190,031
Charge utile insuffisante (le modèle a refusé de juger)0,0130,008

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,031
Tête enseignante GPT0,379
Écart entre enseignants0,348 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2024
Routes d'admission1
Résumé présentoui

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